Overview

Dataset statistics

Number of variables25
Number of observations51081
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory9.7 MiB
Average record size in memory200.0 B

Variable types

Numeric25

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
ang1 is highly correlated with ang2 and 6 other fieldsHigh correlation
ang2 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang3 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang4 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang5 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang6 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang7 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang8 is highly correlated with ang1 and 6 other fieldsHigh correlation
imu1 is highly correlated with imu2 and 4 other fieldsHigh correlation
imu2 is highly correlated with imu1 and 5 other fieldsHigh correlation
imu3 is highly correlated with imu1 and 6 other fieldsHigh correlation
imu4 is highly correlated with imu1 and 6 other fieldsHigh correlation
imu5 is highly correlated with imu1 and 6 other fieldsHigh correlation
imu6 is highly correlated with imu1 and 6 other fieldsHigh correlation
imu7 is highly correlated with imu2 and 5 other fieldsHigh correlation
imu8 is highly correlated with imu3 and 4 other fieldsHigh correlation
ang1 is highly correlated with ang2 and 6 other fieldsHigh correlation
ang2 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang3 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang4 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang5 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang6 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang7 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang8 is highly correlated with ang1 and 6 other fieldsHigh correlation
imu1 is highly correlated with imu2High correlation
imu2 is highly correlated with imu1High correlation
ang1 is highly correlated with ang2 and 6 other fieldsHigh correlation
ang2 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang3 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang4 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang5 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang6 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang7 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang8 is highly correlated with ang1 and 6 other fieldsHigh correlation
imu1 is highly correlated with imu2 and 1 other fieldsHigh correlation
imu2 is highly correlated with imu1 and 1 other fieldsHigh correlation
imu3 is highly correlated with imu1 and 2 other fieldsHigh correlation
imu4 is highly correlated with imu3 and 1 other fieldsHigh correlation
imu5 is highly correlated with imu4 and 1 other fieldsHigh correlation
imu6 is highly correlated with imu5 and 1 other fieldsHigh correlation
imu7 is highly correlated with imu6 and 1 other fieldsHigh correlation
imu8 is highly correlated with imu7High correlation
lin1 is highly correlated with lin2High correlation
lin2 is highly correlated with lin1High correlation
ang1 is highly correlated with ang2 and 6 other fieldsHigh correlation
ang2 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang3 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang4 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang5 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang6 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang7 is highly correlated with ang1 and 6 other fieldsHigh correlation
ang8 is highly correlated with ang1 and 6 other fieldsHigh correlation
imu1 is highly correlated with imu2High correlation
imu2 is highly correlated with imu1High correlation
ang1 has 13347 (26.1%) zeros Zeros
ang2 has 13153 (25.7%) zeros Zeros
ang3 has 13129 (25.7%) zeros Zeros
ang4 has 13053 (25.6%) zeros Zeros
ang5 has 13100 (25.6%) zeros Zeros
ang6 has 13048 (25.5%) zeros Zeros
ang7 has 13113 (25.7%) zeros Zeros
ang8 has 13032 (25.5%) zeros Zeros

Reproduction

Analysis started2022-07-24 14:05:29.936865
Analysis finished2022-07-24 14:06:32.054733
Duration1 minute and 2.12 seconds
Software versionpandas-profiling v3.2.0
Download configurationconfig.json

Variables

curimu
Real number (ℝ≥0)

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.487271333
Minimum0.001509040045
Maximum639.7474387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:32.137259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.001509040045
5-th percentile1.573577218
Q13.011770751
median5.435288344
Q310.85514388
95-th percentile29.62907751
Maximum639.7474387
Range639.7459297
Interquartile range (IQR)7.843373127

Descriptive statistics

Standard deviation13.91690604
Coefficient of variation (CV)1.466902922
Kurtosis356.1412609
Mean9.487271333
Median Absolute Deviation (MAD)3.000104973
Skewness11.52035383
Sum484619.307
Variance193.6802736
MonotonicityNot monotonic
2022-07-24T16:06:32.238147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2522100942
 
< 0.1%
2.0058286721
 
< 0.1%
2.0927268531
 
< 0.1%
2.4035239891
 
< 0.1%
2.5900505791
 
< 0.1%
3.2265019021
 
< 0.1%
3.5603970081
 
< 0.1%
3.3612918841
 
< 0.1%
3.4168919461
 
< 0.1%
3.14168311
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.0015090400451
< 0.1%
0.0015308687121
< 0.1%
0.0016065365671
< 0.1%
0.0016152679581
< 0.1%
0.0016196296481
< 0.1%
0.0016647401161
< 0.1%
0.0017447780531
< 0.1%
0.0019048470611
< 0.1%
0.0019339497891
< 0.1%
0.0020168917051
< 0.1%
ValueCountFrequency (%)
639.74743871
< 0.1%
637.00219051
< 0.1%
622.33578881
< 0.1%
608.28595891
< 0.1%
406.76516781
< 0.1%
274.44030871
< 0.1%
273.78544471
< 0.1%
266.16038961
< 0.1%
265.06033981
< 0.1%
257.85394571
< 0.1%

lin1
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9722
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4995153263
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:32.339049image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548259582
Q10.4742330424
median0.499511294
Q30.5244712658
95-th percentile0.5448972418
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05023822342

Descriptive statistics

Standard deviation0.02893398129
Coefficient of variation (CV)0.05792411117
Kurtosis-1.20840628
Mean0.4995153263
Median Absolute Deviation (MAD)0.02511800315
Skewness0.009533312846
Sum25515.74238
Variance0.0008371752733
MonotonicityNot monotonic
2022-07-24T16:06:32.439045image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.471000869615
 
< 0.1%
0.493207170115
 
< 0.1%
0.527294866515
 
< 0.1%
0.491467617415
 
< 0.1%
0.523465719415
 
< 0.1%
0.526238603415
 
< 0.1%
0.461957147715
 
< 0.1%
0.488935290915
 
< 0.1%
0.534536935915
 
< 0.1%
0.540382854615
 
< 0.1%
Other values (9712)50931
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819595
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin2
Real number (ℝ≥0)

HIGH CORRELATION

Distinct9681
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4995537413
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:32.539504image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548292487
Q10.4742697294
median0.4994973419
Q30.5245264556
95-th percentile0.5449430406
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05025672629

Descriptive statistics

Standard deviation0.02894080307
Coefficient of variation (CV)0.05793331262
Kurtosis-1.208461614
Mean0.4995537413
Median Absolute Deviation (MAD)0.02513090617
Skewness0.008444659272
Sum25517.70466
Variance0.0008375700823
MonotonicityNot monotonic
2022-07-24T16:06:32.639225image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49475312516
 
< 0.1%
0.506565246816
 
< 0.1%
0.537622011316
 
< 0.1%
0.544846283116
 
< 0.1%
0.49253085116
 
< 0.1%
0.53644741316
 
< 0.1%
0.490972620216
 
< 0.1%
0.475520482816
 
< 0.1%
0.527722023516
 
< 0.1%
0.522807183216
 
< 0.1%
Other values (9671)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819596
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin3
Real number (ℝ≥0)

Distinct9669
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4995295373
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:32.739278image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548422224
Q10.4742684532
median0.4994869484
Q30.5244712658
95-th percentile0.5449012046
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.0502028126

Descriptive statistics

Standard deviation0.02892729789
Coefficient of variation (CV)0.05790908391
Kurtosis-1.208436366
Mean0.4995295373
Median Absolute Deviation (MAD)0.02512061965
Skewness0.00929995061
Sum25516.46829
Variance0.0008367885631
MonotonicityNot monotonic
2022-07-24T16:06:32.840460image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.49964878916
 
< 0.1%
0.481461500516
 
< 0.1%
0.497132485916
 
< 0.1%
0.511404563916
 
< 0.1%
0.484217458216
 
< 0.1%
0.534131458116
 
< 0.1%
0.537622011316
 
< 0.1%
0.49517089916
 
< 0.1%
0.488068223216
 
< 0.1%
0.465993022516
 
< 0.1%
Other values (9659)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819595
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin4
Real number (ℝ≥0)

Distinct9663
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4994960329
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:32.941018image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548532646
Q10.4741827847
median0.4993309824
Q30.5244717392
95-th percentile0.5449012046
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05028895446

Descriptive statistics

Standard deviation0.02894611551
Coefficient of variation (CV)0.05795064145
Kurtosis-1.210223743
Mean0.4994960329
Median Absolute Deviation (MAD)0.02514819766
Skewness0.01215094435
Sum25514.75686
Variance0.0008378776032
MonotonicityNot monotonic
2022-07-24T16:06:33.042057image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.542195328516
 
< 0.1%
0.501354231316
 
< 0.1%
0.511404563916
 
< 0.1%
0.452083344516
 
< 0.1%
0.537622011316
 
< 0.1%
0.534131458116
 
< 0.1%
0.459908887416
 
< 0.1%
0.476464550516
 
< 0.1%
0.456825558916
 
< 0.1%
0.477126136516
 
< 0.1%
Other values (9653)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819596
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin5
Real number (ℝ≥0)

Distinct9662
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4994591287
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:33.142280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548532646
Q10.4741424001
median0.4992526758
Q30.5244477593
95-th percentile0.5448916076
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05030535915

Descriptive statistics

Standard deviation0.02894203086
Coefficient of variation (CV)0.05794674519
Kurtosis-1.209657264
Mean0.4994591287
Median Absolute Deviation (MAD)0.02515473901
Skewness0.01365285601
Sum25512.87175
Variance0.0008376411505
MonotonicityNot monotonic
2022-07-24T16:06:33.243515image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.470018425716
 
< 0.1%
0.49517089916
 
< 0.1%
0.49253085116
 
< 0.1%
0.499186686616
 
< 0.1%
0.484217458216
 
< 0.1%
0.46442980116
 
< 0.1%
0.458562300516
 
< 0.1%
0.529803754616
 
< 0.1%
0.470389229616
 
< 0.1%
0.461309338616
 
< 0.1%
Other values (9652)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819596
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin6
Real number (ℝ≥0)

Distinct9662
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.499496214
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:33.344020image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548532646
Q10.474194617
median0.4993363765
Q30.5244456051
95-th percentile0.544894722
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05025098809

Descriptive statistics

Standard deviation0.02892291156
Coefficient of variation (CV)0.05790416574
Kurtosis-1.207842297
Mean0.499496214
Median Absolute Deviation (MAD)0.02511209306
Skewness0.01217065041
Sum25514.76611
Variance0.0008365348131
MonotonicityNot monotonic
2022-07-24T16:06:33.444980image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.524445605116
 
< 0.1%
0.511404563916
 
< 0.1%
0.493731026216
 
< 0.1%
0.491979650816
 
< 0.1%
0.503042903216
 
< 0.1%
0.4626336216
 
< 0.1%
0.537622011316
 
< 0.1%
0.458562300516
 
< 0.1%
0.543125689716
 
< 0.1%
0.544846283116
 
< 0.1%
Other values (9652)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819596
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin7
Real number (ℝ≥0)

Distinct9661
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4995817636
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:33.550314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.4548476936
Q10.4743657989
median0.4994869484
Q30.5244986856
95-th percentile0.5449028063
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05013288668

Descriptive statistics

Standard deviation0.028922386
Coefficient of variation (CV)0.05789319809
Kurtosis-1.206365162
Mean0.4995817636
Median Absolute Deviation (MAD)0.0250755855
Skewness0.008894297695
Sum25519.13607
Variance0.0008365044119
MonotonicityNot monotonic
2022-07-24T16:06:33.652476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.524445605116
 
< 0.1%
0.513084210816
 
< 0.1%
0.490271572716
 
< 0.1%
0.458562300516
 
< 0.1%
0.459908887416
 
< 0.1%
0.493731026216
 
< 0.1%
0.511404563916
 
< 0.1%
0.477126136516
 
< 0.1%
0.5129820916
 
< 0.1%
0.534131458116
 
< 0.1%
Other values (9651)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819595
< 0.1%
0.54997417965
< 0.1%
0.54997349176
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

lin8
Real number (ℝ≥0)

Distinct9660
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4996176065
Minimum0.4500110601
Maximum0.5499974747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:33.755236image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.4500110601
5-th percentile0.454878285
Q10.4744113629
median0.4995383734
Q30.5245568962
95-th percentile0.5448916076
Maximum0.5499974747
Range0.09998641464
Interquartile range (IQR)0.05014553335

Descriptive statistics

Standard deviation0.02891821835
Coefficient of variation (CV)0.05788070311
Kurtosis-1.207272796
Mean0.4996176065
Median Absolute Deviation (MAD)0.02506919465
Skewness0.005720995282
Sum25520.96696
Variance0.0008362633526
MonotonicityNot monotonic
2022-07-24T16:06:33.857197image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.513084210816
 
< 0.1%
0.484217458216
 
< 0.1%
0.490271572716
 
< 0.1%
0.522109061316
 
< 0.1%
0.475520482816
 
< 0.1%
0.5129820916
 
< 0.1%
0.529803754616
 
< 0.1%
0.491979650816
 
< 0.1%
0.458538736116
 
< 0.1%
0.523490266516
 
< 0.1%
Other values (9650)50921
99.7%
ValueCountFrequency (%)
0.45001106015
< 0.1%
0.4500120175
< 0.1%
0.45001545255
< 0.1%
0.45002014235
< 0.1%
0.450026295
< 0.1%
0.45006869845
< 0.1%
0.45007283485
< 0.1%
0.4500747745
< 0.1%
0.4501161515
< 0.1%
0.45012080855
< 0.1%
ValueCountFrequency (%)
0.54999747475
< 0.1%
0.5499895275
< 0.1%
0.5499819595
< 0.1%
0.54997417965
< 0.1%
0.54997349175
< 0.1%
0.54994951985
< 0.1%
0.54993816645
< 0.1%
0.54993286275
< 0.1%
0.5499220395
< 0.1%
0.54991500615
< 0.1%

ang1
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02172627787
Minimum-0.4
Maximum0.4
Zeros13347
Zeros (%)26.1%
Negative20783
Negative (%)40.7%
Memory size399.2 KiB
2022-07-24T16:06:33.953808image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.1
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.2362742729
Coefficient of variation (CV)-10.87504608
Kurtosis-0.8635389854
Mean-0.02172627787
Median Absolute Deviation (MAD)0.2
Skewness0.09176989552
Sum-1109.8
Variance0.05582553204
MonotonicityNot monotonic
2022-07-24T16:06:34.045513image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013347
26.1%
-0.45591
10.9%
-0.35196
 
10.2%
-0.25175
 
10.1%
-0.14821
 
9.4%
0.14473
 
8.8%
0.44231
 
8.3%
0.34134
 
8.1%
0.24113
 
8.1%
ValueCountFrequency (%)
-0.45591
10.9%
-0.35196
 
10.2%
-0.25175
 
10.1%
-0.14821
 
9.4%
013347
26.1%
0.14473
 
8.8%
0.24113
 
8.1%
0.34134
 
8.1%
0.44231
 
8.3%
ValueCountFrequency (%)
0.44231
 
8.3%
0.34134
 
8.1%
0.24113
 
8.1%
0.14473
 
8.8%
013347
26.1%
-0.14821
 
9.4%
-0.25175
 
10.1%
-0.35196
 
10.2%
-0.45591
10.9%

ang2
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02161077504
Minimum-0.4
Maximum0.4
Zeros13153
Zeros (%)25.7%
Negative20894
Negative (%)40.9%
Memory size399.2 KiB
2022-07-24T16:06:34.132141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.1
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.2370413539
Coefficient of variation (CV)-10.9686651
Kurtosis-0.8758462798
Mean-0.02161077504
Median Absolute Deviation (MAD)0.2
Skewness0.09287647409
Sum-1103.9
Variance0.05618860347
MonotonicityNot monotonic
2022-07-24T16:06:34.219428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013153
25.7%
-0.45630
11.0%
-0.25228
 
10.2%
-0.35183
 
10.1%
-0.14853
 
9.5%
0.14436
 
8.7%
0.44271
 
8.4%
0.34165
 
8.2%
0.24162
 
8.1%
ValueCountFrequency (%)
-0.45630
11.0%
-0.35183
 
10.1%
-0.25228
 
10.2%
-0.14853
 
9.5%
013153
25.7%
0.14436
 
8.7%
0.24162
 
8.1%
0.34165
 
8.2%
0.44271
 
8.4%
ValueCountFrequency (%)
0.44271
 
8.4%
0.34165
 
8.2%
0.24162
 
8.1%
0.14436
 
8.7%
013153
25.7%
-0.14853
 
9.5%
-0.25228
 
10.2%
-0.35183
 
10.1%
-0.45630
11.0%

ang3
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02072590591
Minimum-0.4
Maximum0.4
Zeros13129
Zeros (%)25.7%
Negative20788
Negative (%)40.7%
Memory size399.2 KiB
2022-07-24T16:06:34.306120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.1
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.2376407584
Coefficient of variation (CV)-11.4658804
Kurtosis-0.8844140602
Mean-0.02072590591
Median Absolute Deviation (MAD)0.2
Skewness0.08800886046
Sum-1058.7
Variance0.05647313006
MonotonicityNot monotonic
2022-07-24T16:06:34.393339image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013129
25.7%
-0.45627
11.0%
-0.35241
 
10.3%
-0.25136
 
10.1%
-0.14784
 
9.4%
0.14481
 
8.8%
0.44326
 
8.5%
0.34201
 
8.2%
0.24156
 
8.1%
ValueCountFrequency (%)
-0.45627
11.0%
-0.35241
 
10.3%
-0.25136
 
10.1%
-0.14784
 
9.4%
013129
25.7%
0.14481
 
8.8%
0.24156
 
8.1%
0.34201
 
8.2%
0.44326
 
8.5%
ValueCountFrequency (%)
0.44326
 
8.5%
0.34201
 
8.2%
0.24156
 
8.1%
0.14481
 
8.8%
013129
25.7%
-0.14784
 
9.4%
-0.25136
 
10.1%
-0.35241
 
10.3%
-0.45627
11.0%

ang4
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02047923886
Minimum-0.4
Maximum0.4
Zeros13053
Zeros (%)25.6%
Negative20845
Negative (%)40.8%
Memory size399.2 KiB
2022-07-24T16:06:34.479009image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.1
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.238053097
Coefficient of variation (CV)-11.62411839
Kurtosis-0.8894016914
Mean-0.02047923886
Median Absolute Deviation (MAD)0.2
Skewness0.08932121647
Sum-1046.1
Variance0.05666927698
MonotonicityNot monotonic
2022-07-24T16:06:34.564790image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013053
25.6%
-0.45646
11.1%
-0.35194
 
10.2%
-0.25188
 
10.2%
-0.14817
 
9.4%
0.14416
 
8.6%
0.44367
 
8.5%
0.34214
 
8.2%
0.24186
 
8.2%
ValueCountFrequency (%)
-0.45646
11.1%
-0.35194
 
10.2%
-0.25188
 
10.2%
-0.14817
 
9.4%
013053
25.6%
0.14416
 
8.6%
0.24186
 
8.2%
0.34214
 
8.2%
0.44367
 
8.5%
ValueCountFrequency (%)
0.44367
 
8.5%
0.34214
 
8.2%
0.24186
 
8.2%
0.14416
 
8.6%
013053
25.6%
-0.14817
 
9.4%
-0.25188
 
10.2%
-0.35194
 
10.2%
-0.45646
11.1%

ang5
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01972749163
Minimum-0.4
Maximum0.4
Zeros13100
Zeros (%)25.6%
Negative20714
Negative (%)40.6%
Memory size399.2 KiB
2022-07-24T16:06:34.650223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.2
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.2382111044
Coefficient of variation (CV)-12.07508328
Kurtosis-0.8929207638
Mean-0.01972749163
Median Absolute Deviation (MAD)0.2
Skewness0.08362639236
Sum-1007.7
Variance0.05674453028
MonotonicityNot monotonic
2022-07-24T16:06:34.737833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013100
25.6%
-0.45629
11.0%
-0.35232
 
10.2%
-0.25106
 
10.0%
-0.14747
 
9.3%
0.14448
 
8.7%
0.44376
 
8.6%
0.34256
 
8.3%
0.24187
 
8.2%
ValueCountFrequency (%)
-0.45629
11.0%
-0.35232
 
10.2%
-0.25106
 
10.0%
-0.14747
 
9.3%
013100
25.6%
0.14448
 
8.7%
0.24187
 
8.2%
0.34256
 
8.3%
0.44376
 
8.6%
ValueCountFrequency (%)
0.44376
 
8.6%
0.34256
 
8.3%
0.24187
 
8.2%
0.14448
 
8.7%
013100
25.6%
-0.14747
 
9.3%
-0.25106
 
10.0%
-0.35232
 
10.2%
-0.45629
11.0%

ang6
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01955521623
Minimum-0.4
Maximum0.4
Zeros13048
Zeros (%)25.5%
Negative20772
Negative (%)40.7%
Memory size399.2 KiB
2022-07-24T16:06:34.824380image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.2
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.2383189747
Coefficient of variation (CV)-12.18697722
Kurtosis-0.8937479028
Mean-0.01955521623
Median Absolute Deviation (MAD)0.2
Skewness0.08548264276
Sum-998.9
Variance0.05679593372
MonotonicityNot monotonic
2022-07-24T16:06:34.915232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013048
25.5%
-0.45627
11.0%
-0.35183
 
10.1%
-0.25157
 
10.1%
-0.14805
 
9.4%
0.44402
 
8.6%
0.14391
 
8.6%
0.34252
 
8.3%
0.24216
 
8.3%
ValueCountFrequency (%)
-0.45627
11.0%
-0.35183
 
10.1%
-0.25157
 
10.1%
-0.14805
 
9.4%
013048
25.5%
0.14391
 
8.6%
0.24216
 
8.3%
0.34252
 
8.3%
0.44402
 
8.6%
ValueCountFrequency (%)
0.44402
 
8.6%
0.34252
 
8.3%
0.24216
 
8.3%
0.14391
 
8.6%
013048
25.5%
-0.14805
 
9.4%
-0.25157
 
10.1%
-0.35183
 
10.1%
-0.45627
11.0%

ang7
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01893267555
Minimum-0.4
Maximum0.4
Zeros13113
Zeros (%)25.7%
Negative20651
Negative (%)40.4%
Memory size399.2 KiB
2022-07-24T16:06:35.001216image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.2
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.2383996257
Coefficient of variation (CV)-12.591967
Kurtosis-0.8950702089
Mean-0.01893267555
Median Absolute Deviation (MAD)0.2
Skewness0.08169974491
Sum-967.1
Variance0.05683438155
MonotonicityNot monotonic
2022-07-24T16:06:35.088151image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013113
25.7%
-0.45607
11.0%
-0.35204
 
10.2%
-0.25114
 
10.0%
-0.14726
 
9.3%
0.14435
 
8.7%
0.44414
 
8.6%
0.34296
 
8.4%
0.24172
 
8.2%
ValueCountFrequency (%)
-0.45607
11.0%
-0.35204
 
10.2%
-0.25114
 
10.0%
-0.14726
 
9.3%
013113
25.7%
0.14435
 
8.7%
0.24172
 
8.2%
0.34296
 
8.4%
0.44414
 
8.6%
ValueCountFrequency (%)
0.44414
 
8.6%
0.34296
 
8.4%
0.24172
 
8.2%
0.14435
 
8.7%
013113
25.7%
-0.14726
 
9.3%
-0.25114
 
10.0%
-0.35204
 
10.2%
-0.45607
11.0%

ang8
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0188347918
Minimum-0.4
Maximum0.4
Zeros13032
Zeros (%)25.5%
Negative20711
Negative (%)40.5%
Memory size399.2 KiB
2022-07-24T16:06:35.173830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.4
Q1-0.2
median0
Q30.2
95-th percentile0.4
Maximum0.4
Range0.8
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.2384098426
Coefficient of variation (CV)-12.65794946
Kurtosis-0.8953501291
Mean-0.0188347918
Median Absolute Deviation (MAD)0.2
Skewness0.08285690901
Sum-962.1
Variance0.05683925307
MonotonicityNot monotonic
2022-07-24T16:06:35.263746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
013032
25.5%
-0.45599
11.0%
-0.35174
 
10.1%
-0.25152
 
10.1%
-0.14786
 
9.4%
0.44434
 
8.7%
0.14414
 
8.6%
0.34257
 
8.3%
0.24233
 
8.3%
ValueCountFrequency (%)
-0.45599
11.0%
-0.35174
 
10.1%
-0.25152
 
10.1%
-0.14786
 
9.4%
013032
25.5%
0.14414
 
8.6%
0.24233
 
8.3%
0.34257
 
8.3%
0.44434
 
8.7%
ValueCountFrequency (%)
0.44434
 
8.7%
0.34257
 
8.3%
0.24233
 
8.3%
0.14414
 
8.6%
013032
25.5%
-0.14786
 
9.4%
-0.25152
 
10.1%
-0.35174
 
10.1%
-0.45599
11.0%

imu1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.150645271
Minimum0.0005618717145
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:35.360575image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005618717145
5-th percentile0.582127087
Q11.365786688
median2.533487358
Q36.977893783
95-th percentile23.48281477
Maximum180.6440079
Range180.6434461
Interquartile range (IQR)5.612107094

Descriptive statistics

Standard deviation9.374976784
Coefficient of variation (CV)1.524226544
Kurtosis29.19757931
Mean6.150645271
Median Absolute Deviation (MAD)1.563529648
Skewness4.147411917
Sum314181.1111
Variance87.89018969
MonotonicityNot monotonic
2022-07-24T16:06:35.463956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.32268348192
 
< 0.1%
0.37544032871
 
< 0.1%
2.682042841
 
< 0.1%
1.4543347661
 
< 0.1%
1.2852601271
 
< 0.1%
1.2598224551
 
< 0.1%
1.3153081061
 
< 0.1%
1.6060177071
 
< 0.1%
1.5642021551
 
< 0.1%
1.8379901961
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00056187171451
< 0.1%
0.00057416683761
< 0.1%
0.0005996492331
< 0.1%
0.00063421522851
< 0.1%
0.00064265887791
< 0.1%
0.00065855466751
< 0.1%
0.00065918251881
< 0.1%
0.0006626540791
< 0.1%
0.00066523277091
< 0.1%
0.00066531741641
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
142.69398241
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
129.18055511
< 0.1%
126.02690581
< 0.1%
121.97829121
< 0.1%

imu2
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.153860728
Minimum0.0005351743934
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:35.565076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005351743934
5-th percentile0.5835485711
Q11.37225189
median2.541867735
Q36.993719764
95-th percentile23.48148435
Maximum180.6440079
Range180.6434728
Interquartile range (IQR)5.621467873

Descriptive statistics

Standard deviation9.36168082
Coefficient of variation (CV)1.52126953
Kurtosis29.41668761
Mean6.153860728
Median Absolute Deviation (MAD)1.571910024
Skewness4.157588211
Sum314345.3598
Variance87.64106777
MonotonicityNot monotonic
2022-07-24T16:06:35.668829image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.22393648752
 
< 0.1%
0.25603522841
 
< 0.1%
2.9215999041
 
< 0.1%
1.6060177071
 
< 0.1%
1.5642021551
 
< 0.1%
1.8379901961
 
< 0.1%
1.7889989271
 
< 0.1%
1.7540992171
 
< 0.1%
1.3241727291
 
< 0.1%
2.682042841
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00053517439341
< 0.1%
0.00054497572151
< 0.1%
0.00057416683761
< 0.1%
0.00060199721961
< 0.1%
0.00062339997971
< 0.1%
0.00063421522851
< 0.1%
0.00065855466751
< 0.1%
0.0006626540791
< 0.1%
0.00066523277091
< 0.1%
0.00067256979871
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
142.69398241
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%
129.18055511
< 0.1%
121.97829121
< 0.1%

imu3
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.17304221
Minimum0.0005351743934
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:35.769303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005351743934
5-th percentile0.5822147978
Q11.370059152
median2.546241445
Q37.027725303
95-th percentile23.50207832
Maximum180.6440079
Range180.6434728
Interquartile range (IQR)5.657666151

Descriptive statistics

Standard deviation9.378307464
Coefficient of variation (CV)1.51923592
Kurtosis29.20520923
Mean6.17304221
Median Absolute Deviation (MAD)1.577748756
Skewness4.142019018
Sum315325.1691
Variance87.95265089
MonotonicityNot monotonic
2022-07-24T16:06:35.872605image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.47138658072
 
< 0.1%
0.25064987851
 
< 0.1%
5.9235381361
 
< 0.1%
1.3241727291
 
< 0.1%
2.682042841
 
< 0.1%
2.3806912771
 
< 0.1%
2.8674958191
 
< 0.1%
3.0854205951
 
< 0.1%
2.9215999041
 
< 0.1%
1.9997941981
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00053517439341
< 0.1%
0.00057416683761
< 0.1%
0.00060057116391
< 0.1%
0.00060199721961
< 0.1%
0.00062339997971
< 0.1%
0.00065009791231
< 0.1%
0.0006601365411
< 0.1%
0.00067197588811
< 0.1%
0.00067256979871
< 0.1%
0.00067468088471
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
142.69398241
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%
129.18055511
< 0.1%
121.97829121
< 0.1%

imu4
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.169694803
Minimum0.0005259112718
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:35.973356image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005259112718
5-th percentile0.5714130874
Q11.366168226
median2.54102313
Q37.024841728
95-th percentile23.46966658
Maximum180.6440079
Range180.643482
Interquartile range (IQR)5.658673502

Descriptive statistics

Standard deviation9.378301709
Coefficient of variation (CV)1.520059259
Kurtosis29.13625462
Mean6.169694803
Median Absolute Deviation (MAD)1.58006073
Skewness4.135959906
Sum315154.1802
Variance87.95254294
MonotonicityNot monotonic
2022-07-24T16:06:36.074401image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.36366887822
 
< 0.1%
0.39969205321
 
< 0.1%
9.0967741281
 
< 0.1%
2.9215999041
 
< 0.1%
1.9997941981
 
< 0.1%
1.9630166891
 
< 0.1%
1.5059875581
 
< 0.1%
5.4091950321
 
< 0.1%
5.9235381361
 
< 0.1%
7.2287575681
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00052591127181
< 0.1%
0.00053517439341
< 0.1%
0.00057416683761
< 0.1%
0.00059480066871
< 0.1%
0.00060199721961
< 0.1%
0.00061182900731
< 0.1%
0.00062339997971
< 0.1%
0.00063022922321
< 0.1%
0.00065009791231
< 0.1%
0.00066660007481
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
142.69398241
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%
129.18055511
< 0.1%
121.97829121
< 0.1%

imu5
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.176043864
Minimum0.0005259112718
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:36.176152image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0005259112718
5-th percentile0.558894935
Q11.360967084
median2.540689015
Q37.02898851
95-th percentile23.4846664
Maximum180.6440079
Range180.643482
Interquartile range (IQR)5.668021426

Descriptive statistics

Standard deviation9.406632709
Coefficient of variation (CV)1.523083857
Kurtosis28.86283351
Mean6.176043864
Median Absolute Deviation (MAD)1.585656577
Skewness4.122414118
Sum315478.4966
Variance88.48473892
MonotonicityNot monotonic
2022-07-24T16:06:36.277615image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34218789352
 
< 0.1%
0.31681541461
 
< 0.1%
14.48717521
 
< 0.1%
5.9235381361
 
< 0.1%
7.2287575681
 
< 0.1%
9.9084251651
 
< 0.1%
11.485107051
 
< 0.1%
8.8112122441
 
< 0.1%
9.0967741281
 
< 0.1%
7.6042712711
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00052591127181
< 0.1%
0.00053517439341
< 0.1%
0.00054497572151
< 0.1%
0.00056989118921
< 0.1%
0.00057416683761
< 0.1%
0.00059480066871
< 0.1%
0.00059848037541
< 0.1%
0.00060057116391
< 0.1%
0.00060199721961
< 0.1%
0.00062339997971
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
142.69398241
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%
129.18055511
< 0.1%
121.97829121
< 0.1%

imu6
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.147064496
Minimum0.0004801165657
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:36.378258image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0004801165657
5-th percentile0.5375661804
Q11.347984328
median2.523298863
Q36.973802154
95-th percentile23.47842755
Maximum180.6440079
Range180.6435278
Interquartile range (IQR)5.625817825

Descriptive statistics

Standard deviation9.404225774
Coefficient of variation (CV)1.529872637
Kurtosis28.99701736
Mean6.147064496
Median Absolute Deviation (MAD)1.581744018
Skewness4.134367408
Sum313998.2015
Variance88.4394624
MonotonicityNot monotonic
2022-07-24T16:06:36.479446image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25402309712
 
< 0.1%
0.29736404551
 
< 0.1%
6.9148976291
 
< 0.1%
9.0967741281
 
< 0.1%
7.6042712711
 
< 0.1%
6.9590486811
 
< 0.1%
7.1200722441
 
< 0.1%
11.017943961
 
< 0.1%
14.48717521
 
< 0.1%
14.888806591
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00048011656571
< 0.1%
0.00052591127181
< 0.1%
0.00053517439341
< 0.1%
0.00054497572151
< 0.1%
0.00055509448031
< 0.1%
0.00056989118921
< 0.1%
0.00057416683761
< 0.1%
0.00058663767451
< 0.1%
0.00059480066871
< 0.1%
0.00059848037541
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
142.69398241
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%
129.18055511
< 0.1%
121.97829121
< 0.1%

imu7
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.115184697
Minimum0.0004307035059
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:36.580198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0004307035059
5-th percentile0.5022806291
Q11.331163219
median2.498648105
Q36.923817407
95-th percentile23.47559294
Maximum180.6440079
Range180.6435772
Interquartile range (IQR)5.592654188

Descriptive statistics

Standard deviation9.448797234
Coefficient of variation (CV)1.545136852
Kurtosis30.62264531
Mean6.115184697
Median Absolute Deviation (MAD)1.574838964
Skewness4.231049834
Sum312369.7495
Variance89.27976917
MonotonicityNot monotonic
2022-07-24T16:06:36.681590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.35682627552
 
< 0.1%
0.17442783491
 
< 0.1%
8.8974532851
 
< 0.1%
14.48717521
 
< 0.1%
14.888806591
 
< 0.1%
13.345949061
 
< 0.1%
11.678372121
 
< 0.1%
8.2477685571
 
< 0.1%
6.9148976291
 
< 0.1%
4.785231371
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00043070350591
< 0.1%
0.00048011656571
< 0.1%
0.00052591127181
< 0.1%
0.00053517439341
< 0.1%
0.00054497572151
< 0.1%
0.00055509448031
< 0.1%
0.00055931181571
< 0.1%
0.00056989118921
< 0.1%
0.00057416683761
< 0.1%
0.00058881311331
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
144.83246841
< 0.1%
142.69398241
< 0.1%
137.51696591
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%

imu8
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct51080
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.070704724
Minimum0.0004307035059
Maximum180.6440079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size399.2 KiB
2022-07-24T16:06:36.782571image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.0004307035059
5-th percentile0.4526367205
Q11.313472331
median2.472997671
Q36.85175835
95-th percentile23.43953952
Maximum180.6440079
Range180.6435772
Interquartile range (IQR)5.538286019

Descriptive statistics

Standard deviation9.466598698
Coefficient of variation (CV)1.559390405
Kurtosis30.95155219
Mean6.070704724
Median Absolute Deviation (MAD)1.567700301
Skewness4.270319382
Sum310097.668
Variance89.61649092
MonotonicityNot monotonic
2022-07-24T16:06:36.884333image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27054250982
 
< 0.1%
0.40839547881
 
< 0.1%
16.653583211
 
< 0.1%
6.9148976291
 
< 0.1%
5.6139725981
 
< 0.1%
6.6673336121
 
< 0.1%
10.20645221
 
< 0.1%
8.6934931451
 
< 0.1%
8.5100437741
 
< 0.1%
14.120360961
 
< 0.1%
Other values (51070)51070
> 99.9%
ValueCountFrequency (%)
0.00043070350591
< 0.1%
0.00044351453411
< 0.1%
0.00048011656571
< 0.1%
0.00052591127181
< 0.1%
0.00053517439341
< 0.1%
0.00054121814151
< 0.1%
0.00055509448031
< 0.1%
0.00055931181571
< 0.1%
0.00056989118921
< 0.1%
0.00057416683761
< 0.1%
ValueCountFrequency (%)
180.64400791
< 0.1%
179.63587151
< 0.1%
165.0580891
< 0.1%
164.62802821
< 0.1%
144.83246841
< 0.1%
142.69398241
< 0.1%
135.77979651
< 0.1%
134.12453981
< 0.1%
130.38290391
< 0.1%
130.02370091
< 0.1%

Interactions

2022-07-24T16:06:29.248351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:34.448596image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:36.638464image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:38.789270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:40.944381image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:43.126205image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:45.242194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:47.465039image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:49.711484image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:51.836704image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:54.110492image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:56.306258image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:05:58.507198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:00.914561image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:03.133257image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:05.365740image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:07.852403image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:10.108743image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:12.376203image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:14.637630image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:17.215903image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:19.510818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:21.843321image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:24.159374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2022-07-24T16:06:21.749597image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:24.066936image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:26.806126image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-07-24T16:06:29.152884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-07-24T16:06:36.991739image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-07-24T16:06:37.118137image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-07-24T16:06:37.244114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-07-24T16:06:37.370020image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-07-24T16:06:31.660182image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-07-24T16:06:31.894202image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

curimulin1lin2lin3lin4lin5lin6lin7lin8ang1ang2ang3ang4ang5ang6ang7ang8imu1imu2imu3imu4imu5imu6imu7imu8
02.0058290.4710010.4897200.5488810.5493490.4742680.4659900.5099550.5472170.10.00.10.00.10.0-0.1-0.20.3754400.2560350.2506500.3996920.3168150.2973640.1744280.408395
15.0777730.4710010.4897200.5488810.5493490.4742680.4659900.5099550.5472170.10.00.10.00.10.0-0.1-0.20.5882170.3476080.2277850.3446770.3255020.1465540.2576190.459798
29.3850770.4710010.4897200.5488810.5493490.4742680.4659900.5099550.5472170.10.00.10.00.10.0-0.1-0.20.6564500.3497650.2575680.5328110.3422760.1360150.3425320.577702
311.0209490.4710010.4897200.5488810.5493490.4742680.4659900.5099550.5472170.10.00.10.00.10.0-0.1-0.20.2490360.3039570.2786870.3449720.3255140.1224120.4176410.538833
417.4213610.4710010.4897200.5488810.5493490.4742680.4659900.5099550.5472170.10.00.10.00.10.0-0.1-0.20.2457240.3259340.4579670.3558290.2403840.1573460.4569400.590840
526.5035710.4897200.5488810.5493490.4742680.4659900.5099550.5472170.5035200.00.10.00.10.0-0.1-0.2-0.10.3022860.2506500.3996920.3168150.2973640.1744280.4083950.565851
626.7333520.4897200.5488810.5493490.4742680.4659900.5099550.5472170.5035200.00.10.00.10.0-0.1-0.2-0.10.3306990.2277850.3446770.3255020.1465540.2576190.4597980.697822
723.6823290.4897200.5488810.5493490.4742680.4659900.5099550.5472170.5035200.00.10.00.10.0-0.1-0.2-0.10.3898800.2575680.5328110.3422760.1360150.3425320.5777020.592299
822.0737110.4897200.5488810.5493490.4742680.4659900.5099550.5472170.5035200.00.10.00.10.0-0.1-0.2-0.10.3039570.2786870.3449720.3255140.1224120.4176410.5388330.611056
915.8025410.4897200.5488810.5493490.4742680.4659900.5099550.5472170.5035200.00.10.00.10.0-0.1-0.2-0.10.3643300.4579670.3558290.2403840.1573460.4569400.5908400.485256

Last rows

curimulin1lin2lin3lin4lin5lin6lin7lin8ang1ang2ang3ang4ang5ang6ang7ang8imu1imu2imu3imu4imu5imu6imu7imu8
510711.7429780.5125820.5125820.4505730.4798580.5387530.4598050.4507180.522564-0.1-0.10.0-0.2-0.3-0.20.0-0.20.8047250.7359120.8301521.7998201.3669531.8999771.1741410.793652
510721.8524260.5125820.5125820.4505730.4798580.5387530.4598050.4507180.522564-0.1-0.10.0-0.2-0.3-0.20.0-0.20.9005270.7786271.1136561.5840251.5512861.5819251.7552220.175166
510732.0693550.5125820.4505730.4798580.5387530.4598050.4507180.5225640.537368-0.10.0-0.2-0.3-0.20.0-0.2-0.30.7359120.6732441.1450081.7951401.6525111.2660411.7671060.020571
510742.4513090.5125820.4505730.4798580.5387530.4598050.4507180.5225640.537368-0.10.0-0.2-0.3-0.20.0-0.2-0.30.7786270.7752141.7281431.3824931.5912531.2161041.6936060.006670
510752.5986030.4505730.4505730.4798580.5387530.4598050.4507180.5225640.5373680.00.0-0.2-0.3-0.20.0-0.2-0.30.6732440.8769131.7717331.1809341.8088290.8202461.5751020.001762
510762.7877370.4505730.4505730.4798580.5387530.4598050.4507180.5225640.5373680.00.0-0.2-0.3-0.20.0-0.2-0.30.7752140.8301521.7998201.3669531.8999771.1741410.7936520.000940
510772.3774850.4505730.4505730.4798580.5387530.4598050.4507180.5225640.5373680.00.0-0.2-0.3-0.20.0-0.2-0.30.8769131.1136561.5840251.5512861.5819251.7552220.1751660.001331
510782.0661670.4505730.4798580.5387530.4598050.4507180.5225640.5373680.5040260.0-0.2-0.3-0.20.0-0.2-0.3-0.20.8301521.1450081.7951401.6525111.2660411.7671060.0205710.001360
510791.4658960.4505730.4798580.5387530.4598050.4507180.5225640.5373680.5040260.0-0.2-0.3-0.20.0-0.2-0.3-0.21.1136561.7281431.3824931.5912531.2161041.6936060.0066700.001440
510801.3225170.4798580.4798580.5387530.4598050.4507180.5225640.5373680.504026-0.2-0.2-0.3-0.20.0-0.2-0.3-0.21.1450081.7717331.1809341.8088290.8202461.5751020.0017620.001688

Duplicate rows

Most frequently occurring

curimulin1lin2lin3lin4lin5lin6lin7lin8ang1ang2ang3ang4ang5ang6ang7ang8imu1imu2imu3imu4imu5imu6imu7imu8# duplicates
07.252210.5436850.4784610.5357710.4663350.5280110.4672130.505670.5343750.0-0.10.0-0.10.0-0.10.0-0.10.3226830.2239360.4713870.3636690.3421880.2540230.3568260.2705432